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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ annotations_creators:
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+ - no-annotation
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+ language:
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+ - en
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+ language_creators:
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+ - found
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+ license:
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+ - mit
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - n<1K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - text-classification
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+ task_ids:
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+ - text-classification
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+ paperswithcode_id: null
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+ pretty_name: Text360 Sample Dataset
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+ tags:
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+ - text-classification
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+ - arxiv
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+ - wikipedia
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+ ---
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+
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+ # Dataset Card for Text360 Sample Dataset
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+
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+ ## Dataset Description
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+
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+ - **Repository:** [Add your repository URL here]
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+ - **Paper:** [Add paper URL if applicable]
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+ - **Point of Contact:** [Add contact information]
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+
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+ ### Dataset Summary
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+
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+ This dataset contains text samples from two sources (arXiv and Wikipedia) organized in a hierarchical directory structure. Each sample includes a text field and a subset identifier.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ - **Text Classification:** The dataset can be used for text classification tasks, particularly for distinguishing between arXiv and Wikipedia content.
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+
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+ ### Languages
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+
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+ The dataset is in English.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ Each instance in the dataset is a JSON object with the following structure:
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+ ```json
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+ {
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+ "text": "A long text sample...",
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+ "subset": "arxiv" or "wikipedia"
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ - `text`: The main text content of the sample
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+ - `subset`: The source of the text ("arxiv" or "wikipedia")
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+
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+ ### Data Splits
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+
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+ The dataset is organized in the following directory structure:
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+ ```
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+ .
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+ ├── dir1/
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+ │ └── subdir1/
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+ │ └── sample1.jsonl
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+ └── dir2/
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+ └── subdir2/
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+ └── sample2.jsonl
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+ ```
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ The dataset was created to provide a sample of text data from different sources for text classification tasks.
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ The data was collected from two sources:
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+ 1. arXiv papers
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+ 2. Wikipedia articles
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+
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+ #### Who are the source language producers?
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+
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+ - arXiv: Academic researchers and scientists
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+ - Wikipedia: Community contributors
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ No additional annotations were added to the source data.
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+
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+ #### Who are the annotators?
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+
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+ N/A
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+
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+ ### Personal and Sensitive Information
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+
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+ The dataset does not contain any personal or sensitive information.
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ This dataset can be used for educational and research purposes in text classification tasks.
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+
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+ ### Discussion of Biases
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+
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+ The dataset may contain biases inherent to the source materials (arXiv papers and Wikipedia articles).
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+
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+ ### Other Known Limitations
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+
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+ The dataset is a small sample and may not be representative of all content from the source materials.
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+
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+ ### Dataset Curators
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+
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+ [Add curator information]
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+
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+ ### Licensing Information
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+
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+ This dataset is released under the MIT License.
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+
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+ ### Citation Information
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+
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+ [Add citation information]
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+
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+ ### Contributions
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+
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+ [Add contribution information]
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+
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+ ### Contact
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+
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+ [Add contact information]